Jelani Harper

There are numerous reasons why smart data modeling, which is predicated on semantic technologies and open standards, is one of the most advantageous means of effecting everything from integration to analytics in data management. Business-Friendly—Smart data models are innately understood by business users. These models describe entities and their relationships to one another in terms that business users are familiar …

Predictive analytics is rapidly reshaping the power of data-driven practices. The influence of its most accessible format, machine learning, encompasses everything from standard data preparation processes to the most far-flung aspects of cognitive computing. In all but the most rare instances, there is a surfeit of vendors and platforms provisioning self-service options for laymen users. Facilitating the overarching predictive models …

One of the immediate consequences of big data’s ubiquity is that the pace of business has accelerated accordingly, if not outright created the need for real-time data capture and analytics. Numerous developments in IT have facilitated the implementation of operational intelligence, which involves rapid analytics on live systems of real-time data. Among these, distributed computing environments at scale, parallel processing, …

The democratization of data science did not happen haphazardly, nor randomly. Placing some of the core tenets of this discipline in the hands of its traditional beneficiaries, the business analysts who depend on advanced analytics to do their jobs, was nothing short of inevitable. Or so maintains Florian Douetteau, CEO and co-founder of Dataiku, who asserted that its democratization “is …

Yesterday, data visualization tools were a salient component of the data discovery process. Organizations across verticals became comfortable publishing the results of business intelligence and analytics tools to the commonly found visualizations that gave them meaning. Tomorrow, data visualizations will play an even greater role in data management. They will not only inform analytics on business applications, but also those …

Data virtualization’s considerable influence throughout the data sphere is inextricably linked to its pervasive utility. It is at once the forefather of the current attention surrounding data preparation, the precursor to the data lake phenomenon, and one of the principal enablers of the abundant volumes and varieties of big data in its raw form. Nevertheless, its enduring reputation as a …

The transition of the climate within the sales vertical to one focused on Sales Optimization and data-centric practices was almost inevitable. Interactions between sales teams and numerous customers in this space illustrated a number of recurring themes that created the need for Sales Optimization; many of those themes simply reflect the changing nature of doing business in the 21st century. …

Enterprise data modeling has remained an arduous, time-consuming task for myriad reasons, not the least of which is the different levels of modeling required across an organization’s various business domains. Data modelers have to consider conceptual, logical and physical models, in addition to those for individual databases, applications, and a variety of environments such as production and post-production. Oftentimes, the …

The emergence of big data and scalable data lakes has made it easy for organizations to focus on amassing enormous quantities of data–almost to the exclusion of the analytic insight which renders big data an asset. According to Paxata co-founder and Chief Product Officer Nenshad Bardoliwalla,“People are collecting this data but they have no idea what’s actually in the data …

One of the most cogent use cases for the technologies that arguably represent the vanguard of contemporary data management—big data, cognitive computing, advanced analytics, mobile technologies, and the Internet of Things—is their application to the health care space. For the first time, these technologies are allowing vendors and care providers to specify treatment to individuals, thereby broadening the groups of …

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